M-Pesa Africa: Senior Data Architect

Posted 8 Hours Ago
Be an Early Applicant
Hiring Remotely in Kenya
Remote or Hybrid
Senior level
Information Technology • Mobile • Software
The Role
Own enterprise data architecture across M-Pesa’s multi-market environment, including transactional, analytical, operational, and AI/ML domains. Define data modeling, integration, governance, quality, lineage, and security standards. Architect streaming, CDC, API-first, event-driven, and modern lakehouse platforms supporting payments, fraud detection, regulatory reporting, and AI. Partner with engineering, product, compliance, and market teams; mentor data professionals; lead architecture reviews, vendor evaluations, and executive-level technical documentation.
Summary Generated by Built In

We are Africa’s largest fintech providing financial services to more than 60 million customers and 5 million businesses, with transactions of over $1.2 billion a day across 8 countries. Driven by a strong passion in innovation, we provide Africa’s leading super app, the M-PESA Super App, pioneering a digital financial ecosystem that empowers customers and businesses to send and receive money and payments across the world, enables them with access to affordable credit and savings propositions, and provides them with best-in-class solutions to easily grow their wealth and businesses. United in our purpose to Transform Lives, we are determined and energetic in exploring and delivering solutions that consistently address our customers’ needs as we believe that we can only succeed if our customers and the community around us are succeeding.

M-PESA Africa is looking for a Senior Data Architect to design, govern, and evolve our enterprise data landscape across our markets. Operating at the intersection of mobile money, payments infrastructure, AI, and analytics, you will set the architectural standards and strategic direction for how data flows, is governed, and generates value across M-PESA's platforms.

This is a senior individual contributor role with broad influence across engineering, product, compliance, and group-level stakeholders. You will be expected to lead with vision, mentor others, and translate complex data challenges into scalable architectural solutions.

Responsibilities
  • Data Architecture & Strategy
    • Own the enterprise data architecture across M-PESA Africa's multi-market environment, spanning transactional, operational, analytical, and AI/ML data domains.
    • Define and enforce data modelling standards, data flow patterns, and integration architecture for real-time and batch processing pipelines.
    • Lead architecture design for data platforms supporting payment rails, API analytics, fraud and AML detection, and regulatory reporting.
    • Drive the transition to modern data architectures: data mesh, data lakehouse, event-driven patterns aligning to M-PESA's cloud and hybrid infrastructure strategy.
  • Data Governance & Standards
    • Establish and champion enterprise-wide data governance frameworks, data quality standards, and master data management (MDM) policies across all six markets.
    • Define data classification, lineage, and cataloguing standards, ensuring traceability from source systems (e.g., Fintech 2.0 Platform) through to consumption layers.
    • Partner with Compliance, Legal, and Market teams to ensure data architectures meet local regulatory obligations and cross-border data sovereignty requirements.
  • Integration & Platform Architecture
    • Architect data integration patterns between M-PESA core systems, third-party platforms and analytics/AI layers.
    • Collaborate with API gateway teams to define event-driven, API-first data exchange patterns aligned with the integration layer strategy.
    • Design and govern streaming and CDC pipelines using technologies such as Apache Kafka and Oracle GoldenGate across market-level deployments.
  • AI & Analytics Enablement
    • Design data architectures that underpin AI/ML use cases including transaction monitoring, watchlist screening, customer intelligence, and predictive analytics.
    •  Define feature store design, data pipeline standards, and model serving infrastructure patterns for production ML workflows.
    • Partner with the AI/ML team to evaluate and onboard vector databases, embedding pipelines, and LLM-ready data infrastructure.
  •  Leadership & Stakeholder Engagement
    • Serve as the senior data architecture voice in Architecture Review Boards, design forums, and group-level governance bodies.
    • Mentor and coach mid-level data engineers and architects across markets, building data architecture capability within the team.
    • Produce executive-ready architecture artefacts, including C4/Mermaid diagrams, ADRs, and data strategy presentations for CTO/CIO audiences.
    • Lead vendor evaluations for data platform tools, cloud data services, and governance technologies.
       
Qualifications
  • Education:
    • Bachelor's degree in Computer Science, Information Systems, Electrical/Computer Engineering, or a related field.
  • Experience:
    • Experience in data architecture, data engineering, or closely related technical disciplines, with at least 3 years in a senior or lead capacity.
    • Proven track record designing enterprise-scale data platforms in financial services, fintech, or telecommunications.
    • Deep expertise in data modelling (conceptual, logical, physical) for both OLTP and OLAP systems.
    • Hands-on experience with cloud data platforms (AWS, GCP, or Azure) and big data technologies (Spark, Databricks, BigQuery, Redshift, etc.).
    • Proficiency in data integration patterns: ETL/ELT, Change Data Capture (CDC), event streaming, and API-driven data exchange.
    • Strong understanding of data governance frameworks and tools (DAMA-DMBOK, Apache Atlas, Collibra, or equivalent).
    • Experience with streaming platforms such as Apache Kafka in high-throughput transactional environments.
       

Skills Required

  • Bachelor's degree in Computer Science, Information Systems, Electrical or Computer Engineering, or a related field
  • Experience in data architecture, data engineering, or closely related technical disciplines
  • At least 3 years in a senior or lead capacity
  • Track record designing enterprise-scale data platforms in financial services, fintech, or telecommunications
  • Deep expertise in conceptual, logical, and physical data modeling for OLTP and OLAP systems
  • Hands-on experience with AWS, GCP, or Azure cloud data platforms
  • Experience with big data technologies such as Spark, Databricks, BigQuery, or Redshift
  • Proficiency in ETL/ELT, Change Data Capture, event streaming, and API-driven data exchange
  • Strong understanding of data governance frameworks and tools such as DAMA-DMBOK, Apache Atlas, or Collibra
  • Experience with Apache Kafka in high-throughput transactional environments
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The Company
HQ: Nairobi
16,753 Employees
Year Founded: 1997

What We Do

Safaricom is the leading provider of converged communication solutions in Kenya. In addition to providing a broad range of first-class products and services for Telephony, Broadband Internet and Financial services, Safaricom seeks to uplift the welfare of Kenyans through value-added services and support for community projects. With over 29 Million subscribers and an estimated market share of 67%, the Company has the widest modern mobile network coverage in Kenya and prides in its experienced shareholders, attractive tariffs, a nationwide network of effective dealers, high caliber staff and management enabling it to maintain its position as the region’s mobile market leader. M-PESA has over 23 million subscribers, supported by a nationwide agent network of over 156,000 outlets. M-PESA is the world's most developed biggest mobile payment system. Facts about Safaricom • Employs over 5,500 staff directly and over 500,000 indirectly • Has approximately 4,945 network sites across the country • 50% of employees and 32% of senior management working at Safaricom are women. • Has the largest call center in Sub-Saharan Africa Our people are our most valuable asset and are key to the achievement of our vision of transforming lives. This is reflected in our commitment to creating a working environment that supports our staff. We offer employees a wellness programme, crèche facilities, access to subsidized gym facilities, leisure amenities, regular social events, competitive salaries and career opportunities. We give back to the society through the Safaricom Foundation. Since inception, the foundation has disbursed 2 billion shillings in different initiatives that provide sustainable community-based solutions, contributing towards Kenya’s development agenda, and the Millennium Development Goals. Safaricom is a key member and supporter of the B Team and the B Team – Africa, alliances of business leaders who are committed to responsible and sustainable business practices.

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